상세정보
학술대회
Real-Time Diagnosis System Using Incremental Emerging Pattern Mining
- 발행일
- 201012
- 출처
- International Conference on Ubiquitous Information Technologies and Applications (CUTE) 2010, pp.1-5
- 협약과제
- 10MC1100, 실시간 우편물류 운영기술 개발, 박종흥
- 초록
- Currently, as a effort to reduce a rate of death by cardiovascular diseases, a lot of researches have been studied regarding real-time diagnosis system. So, we implement a prototype which is contained of stream data processor and incremental data mining module for automatic diagnosis of cardiovascular diseases. In the prototype, (i)ECG signal data which is transported from body-attached sensor is collected and pre-processed, and (ii)diagnosis features of the bio-signal data are extracted. And the patients are automatically diagnosed using the incremental emerging pattern mining module, then (iii)the diagnosis result is provided for the doctor in charge of the patients via a web application in order to manage the medical history of each patient. So, the prototype is able to diagnose and predict patient state on real-time, automatically. ©2010 IEEE.
- KSP 제안 키워드
- Automatic diagnosis, Cardiovascular diseases(CVD), Data mining(DM), Diagnosis system, ECG signal, Emerging pattern mining, Incremental data mining, Real-Time diagnosis, Stream Data, Web application, bio-signal